{"id":"W2047584164","doi":"10.1080/02664763.2011.632404","title":"Two-step and likelihood methods for HIV viral dynamic models with covariate measurement errors and missing data","year":2011,"lang":"en","type":"article","venue":"Journal of Applied Statistics","topic":"Bayesian Methods and Mixture Models","field":"Computer Science","cited_by":5,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia; York University","funders":"","keywords":"Covariate; Missing data; Autocorrelation; Statistics; Econometrics; Computer science; Standard error; Mathematics","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002950858,0.0001822315,0.0003695966,0.000097146,0.0001029399,0.0001257804,0.0005397526,0.00004992805,7.983296e-7],"category_scores_gemma":[0.00004656301,0.0001362059,0.00001895707,0.00008009234,0.00007040819,0.000354388,0.0002043225,0.0002027952,9.731255e-8],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00003646992,"about_ca_system_score_gemma":0.000181546,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000006234353,"about_ca_topic_score_gemma":0.000008652536,"domain_scores_codex":[0.9985889,0.0001063895,0.0004404071,0.0003129789,0.0002958386,0.0002555277],"domain_scores_gemma":[0.9985071,0.000181552,0.0004446232,0.0004153342,0.0002487764,0.0002025948],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0002014338,0.00005275231,0.000002631272,0.00006161888,0.0001134581,0.00001470017,0.001287966,0.0000468576,0.00125836,0.4278471,0.0001793584,0.5689337],"study_design_scores_gemma":[0.000998392,0.0001616792,0.00003468106,0.00003285126,0.0001103369,0.000075046,0.00003412237,0.5216031,0.0001746453,0.4765064,0.0001370452,0.0001317145],"study_design_candidate":"theoretical_or_conceptual","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.00005226765,0.0003313412,0.9987711,0.0001101243,0.0001073673,0.000205033,0.00005054721,0.00001685561,0.000355307],"genre_scores_gemma":[0.02117034,0.00005672181,0.9785703,0.0001382709,0.00003028733,0.000003231248,0.000002562843,0.00002440771,0.000003848236],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.568802,"threshold_uncertainty_score":0.5554316,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.09824906713412437,"score_gpt":0.3427253060192883,"score_spread":0.2444762388851639,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}